Final-Year Internship – Service Supervision, AI, Python

Role Overview

• Focus on essentials: select the critical tools and the most relevant Prometheus metrics.
• Design the architecture: create a scalable solution integrating collection, preprocessing, training and visualization (Grafana, alerts, etc.).
• Experiment with different LLMs: fine-tune an open-source model to detect anomalies.
• Use the API to generate advanced PromQL queries or to perform classifications.
• Validate & deploy: test on historical data, industrialize via CI/CD and set up a dedicated dashboard.
• Share & transfer knowledge: write technical documentation, a user guide and present the solution to the team.

Requirements

• Master's degree (engineering school or equivalent)
• Knowledge of Python
• Familiarity with Grafana, Prometheus, Loki and Promtail
• Familiarity with PromQL
• Experience working in a team
• Motivated by challenges
• Knowledge of Docker and Kubernetes is a plus
• Knowledge of Node.js is a plus

Tech Stack

• Docker
• Grafana
• Kubernetes
• Node.js
• Prometheus
• Python

Benefits

• Monthly stipend: €1,500 gross
• Company contribution to meal vouchers (60% covered by Ateme)
• Access to our internal training platform (video environment, Kubernetes, AWS, etc.)